Ghent University Academic Bibliography

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Generalized category discovery in hyperspectral images via prototype subspace modeling

Xianlu Li (UGent) , Nicolas Nadisic (UGent) , Shaoguang Huang and Aleksandra Pizurica (UGent)

(2025) EUVIP 2025 : 13th European Workshop on Visual Information Processing.
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- Journal Article
- A1
- open access
Scalable context-preserving model-aware deep clustering for hyperspectral images

Xianlu Li (UGent) , Nicolas Nadisic (UGent) , Shaoguang Huang, Nikos Deligiannis and Aleksandra Pizurica (UGent)

(2025) REMOTE SENSING. 17(24).
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- Conference Paper
- C1
- open access
Model-aware deep learning for the clustering of hyperspectral images with context preservation

Xianlu Li (UGent) , Nicolas Nadisic (UGent) , Shaoguang Huang, Nikos Deligiannis and Aleksandra Pizurica (UGent)

(2023) 2023 31st European Signal Processing Conference (EUSIPCO). In European Signal Processing Conference p.885-889
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- open access
From model-based optimization algorithms to deep learning models for clustering hyperspectral images

Shaoguang Huang (UGent) , Hongyan Zhang, Haijin Zeng (UGent) and Aleksandra Pizurica (UGent)

(2023) REMOTE SENSING. 15(11).
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- Journal Article
- A1
- open access
HSIToolbox : a web-based application for the classification of hyperspectral images

Zeno Dhaene, Nina Žižakić, Shaoguang Huang (UGent) , Xian Li and Aleksandra Pizurica (UGent)

(2023) SOFTWAREX. 22.
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Subspace clustering for hyperspectral images via dictionary learning with adaptive regularization

Shaoguang Huang (UGent) , Hongyan Zhang and Aleksandra Pizurica (UGent)

(2022) IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 60.
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- C1
- open access
A study on the label noise impact on the hyperspectral image classification

Meizhu Li, Shaoguang Huang (UGent) and Aleksandra Pizurica (UGent)

(2021) IEICE PROCEEDING SERIES. 64.
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- A1
- open access
Sketch-based subspace clustering of hyperspectral images

Shaoguang Huang (UGent) , Hongyan Zhang, Qian Du and Aleksandra Pizurica (UGent)

(2020) REMOTE SENSING. 12(5).
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- A1
- open access
A robust dynamic classifier selection approach for hyperspectral images with imprecise label information

Meizhu Li, Shaoguang Huang (UGent) , Jasper De Bock (UGent) , Gert de Cooman (UGent) and Aleksandra Pizurica (UGent)

(2020) SENSORS. 20(18).
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- P1
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Robust dynamic classifier selection for remote sensing image classification

Meizhu Li, Shaoguang Huang (UGent) and Aleksandra Pizurica (UGent)

(2019) 2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP). p.101-105

Academic Bibliography

Generalized category discovery in hyperspectral images via prototype subspace modeling

Scalable context-preserving model-aware deep clustering for hyperspectral images

Model-aware deep learning for the clustering of hyperspectral images with context preservation

From model-based optimization algorithms to deep learning models for clustering hyperspectral images

HSIToolbox : a web-based application for the classification of hyperspectral images

Subspace clustering for hyperspectral images via dictionary learning with adaptive regularization

A study on the label noise impact on the hyperspectral image classification

Sketch-based subspace clustering of hyperspectral images

A robust dynamic classifier selection approach for hyperspectral images with imprecise label information

Robust dynamic classifier selection for remote sensing image classification

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